/**
 * Phase 11: Python AI context detection helper.
 *
 * Inspects file content to determine whether it is AI-context code — i.e., code
 * that imports or uses major AI/LLM frameworks. When this is true, rule matches
 * in that file can receive a confidence boost because the finding is far more
 * likely to be reachable by an LLM-sensitive code path.
 */
/** Confidence boost applied when a file is detected as AI-context (0.0 – 0.15). */
export declare const AI_CONTEXT_CONFIDENCE_BOOST = 0.1;
/**
 * Returns true if the given file content contains AI/LLM framework imports,
 * indicating the file operates in an AI-adjacent code path.
 *
 * Used by rules to boost confidence when the finding occurs in a confirmed
 * AI-framework context, reducing false positive noise in general purpose code.
 */
export declare function isAiContextFile(content: string): boolean;
/**
 * Returns a context-adjusted confidence value.
 * If the file content contains known AI framework imports the base confidence
 * is boosted by AI_CONTEXT_CONFIDENCE_BOOST, capped at 1.0.
 */
export declare function aiContextConfidence(baseConfidence: number, content: string): number;
/**
 * Determines whether a Python file path looks like a test file based on
 * Python testing conventions (pytest, unittest).
 */
export declare function isPythonTestFile(filePath: string): boolean;